%0 Journal Article
%T Cancer bioinformatics: detection of chromatin states, SNP-containing motifs, and functional enrichment modules
%A Xiaobo Zhou
%J Chinese Journal of Cancer
%D 2013
%I BioMed Central
%R 10.5732/cjc.013.10045
%X In this editorial preface, I briefly review cancer bioinformatics and introduce the four articles in this special issue highlighting important applications of the field: detection of chromatin states; detection of SNP-containing motifs and association with transcription factor-binding sites; improvements in functional enrichment modules; and gene association studies on aging and cancer. We expect this issue to provide bioinformatics scientists, cancer biologists, and clinical doctors with a better understanding of how cancer bioinformatics can be used to identify candidate biomarkers and targets and to conduct functional analysis.
%K Chromatin sates
%K SNP-containing motifs
%K functional enrichment analysis
%K gene
%U http://www.cjcsysu.com/abstract.asp?fr=doaj&idno=20544